DEVELOPMENT... OpenML
Run
62658

Run 62658

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 16-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I40
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7139
Per class
Build CPU time
0.007
Build memory
13735712
F measure
0.4818
Per class
Kappa
0.1549
KB relative information score
3.5969
Mean absolute error
0.2725
Mean prior absolute error
0.2983
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4104
Per class
Predictive accuracy
0.5833
Prior entropy
1.5899
Recall
0.5833
Per class
Relative absolute error
0.9135
Root mean prior squared error
0.3886
Root mean squared error
0.3796
Root relative squared error
0.9769
SciMark benchmark
943.8359